Mephisto405 / Learning-Loss-for-Active-LearningLinks
Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]
☆219Updated 4 years ago
Alternatives and similar repositories for Learning-Loss-for-Active-Learning
Users that are interested in Learning-Loss-for-Active-Learning are comparing it to the libraries listed below
Sorting:
- Variational Adversarial Active Learning (ICCV 2019)☆231Updated 2 years ago
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆272Updated 6 years ago
- A list of active learning methods for deep learning.☆63Updated last year
- Awesome Active Learning Paper List☆142Updated last year
- Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For…☆203Updated 5 years ago
- This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbo…☆182Updated last year
- The official implementation of Active Learning by Feature Mixing (ALFA-Mix) paper☆85Updated 2 years ago
- An implementation of the BADGE batch active learning algorithm.☆207Updated last year
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆128Updated 5 years ago
- "In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Riz…☆236Updated 2 years ago
- Official PyTorch implementation of "PT4AL: Using Self-Supervised Pretext Tasks for Active Learning (ECCV2022)"☆54Updated last year
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆127Updated 2 months ago
- [CVPR2021] Task-Aware Variational Adversarial Active Learning☆41Updated last year
- Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)☆73Updated 3 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆296Updated 2 years ago
- (ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System☆230Updated 4 years ago
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆559Updated 4 years ago
- [AAAI 2021] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning☆139Updated 4 years ago
- The implementation of the algorithm in the paper "Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data" published in ICML 2…☆50Updated 4 years ago
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆94Updated 8 months ago
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆138Updated last year
- "Automatically Discovering and Learning New Visual Categories with Ranking Statistics" by Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Eh…☆229Updated 5 years ago
- Repo for CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning☆101Updated 10 months ago
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆88Updated 3 years ago
- ☆132Updated 4 years ago
- Official implementation of "A Unified Objective for Novel Class Discovery", ICCV2021 (Oral)☆150Updated 3 years ago
- (NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297☆122Updated 2 years ago
- Confidence-Aware Learning for Deep Neural Networks (ICML2020)☆74Updated 5 years ago
- Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)☆108Updated 5 years ago
- ☆47Updated last year